Evidence map›Paper›PMID 24363023›Full record

ArticleNature methods2014

Quantitative single-cell RNA-seq with unique molecular identifiers.

Saiful Islam, Amit Zeisel, Simon Joost, Gioele La Manno, Pawel Zajac, Maria Kasper, Peter Lönnerberg, Sten Linnarsson

Abstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 657 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
657citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

657 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Remodeling of mRNA by eIF4F in human translation initiation.bioRxiv : the preprint server for biology · 2026
    Article
  9. Hepatic cellular stress response pathways exhibit species differences in basal and inducible activity.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Article
  10. Single-cell RNA sequencing in stroke and traumatic brain injury: Current achievements, challenges and future perspectives on transcriptomic profiling.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Secreted phospholipase PLA2G5 acts as a hemolytic factor in sepsis.The Journal of clinical investigation · 2026
    Article
  16. Review
  17. Integration of Bulk and Single-Cell RNA Sequencing Analyses in Biomedicine.International journal of molecular sciences · 2026
    Review
  18. Article
  19. Article
  20. Review

597 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Saiful IslamDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Amit ZeiselDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Simon JoostDepartment of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden.
Gioele La MannoDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Pawel ZajacDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Maria KasperDepartment of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden.
Peter LönnerbergDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Sten LinnarssonDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing (RNA-seq) is a powerful tool to reveal cellular heterogeneity, discover new cell types and characterize tumor microevolution. However, losses in cDNA synthesis and bias in cDNA amplification lead to severe quantitative errors. We show that molecular labels--random sequences that label individual molecules--can nearly eliminate amplification noise, and that microfluidic sample preparation and optimized reagents produce a fivefold improvement in mRNA capture efficiency.

Indexed as

AnimalsCells, CulturedEmbryonic Stem CellsGene Expression ProfilingGene LibraryHigh-Throughput Nucleotide SequencingMiceRNA, MessengerSequence Analysis, RNASystems BiologyRNA, Messenger

Identifiers

PMID24363023

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.